The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Portrait of Predrag Bakic. Photo

Predrag Bakic

Associate Professor

Portrait of Predrag Bakic. Photo

Non-rigid registration of mammograms obtained with variable breast compression : A phantom study

Author

  • Frédéric J.P. Richard
  • Predrag R. Bakić
  • Andrew D.A. Maidment

Editor

  • James C. Gee
  • J. B. Antoine Maintz
  • Michael W. Vannier

Summary, in English

The amount of breast compression applied during a mammographic exam affects the appearance of mammograms by introducing variations in the shape, position, and contrast of breast anatomical structures, which can conceal existing breast abnormalities or generate false alarms. Due to the complex tissue organization and elastic properties of the breast and the projective nature of mammography, rigid registration approaches are not useful in correcting these variations. We describe a non-rigid approach focused on registration of mammogram regions of interest, taking into account the changes in image contrast. This registration algorithm has been applied to synthetic mammograms generated using a deformable 3D anthropomorphic phantom and a model of breast deformation during mammographic compression.

Publishing year

2003

Language

English

Pages

281-290

Publication/Series

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

2717

Document type

Book chapter

Publisher

Springer

Topic

  • Medical and Health Sciences

Keywords

  • Breast compression
  • Finite elements
  • Image registration
  • Mammogram synthesis
  • Mammography
  • Multigrid optimization
  • Multimodality registration
  • Partial differential equations
  • Tissue modeling

Status

Published

ISBN/ISSN/Other

  • ISSN: 0302-9743
  • ISSN: 1611-3349
  • ISBN: 3540203435
  • ISBN: 9783540203438